Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce workflow sequencing, prevent data fabrication, cap financial exposure, and require human approval for high-value actions. Link to article: …

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This is a recent addition to Marten. We’ve started supporting many of the common PostgreSQL extensions that hare frequently supported by the major cloud providers. Outside of metrics collection or sensor data, I don’t have a great handle on what folks might use this for, so I’d love to hear from other folks what they’d …

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Learn how to configure rate limits on Amazon Bedrock AgentCore gateway to enforce per-user and per-target traffic controls. Define request, token, and connection limits scoped by JWT claims or IAM identity to protect downstream models, tools, and agents from traffic spikes. Link to article: …

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When a test fails in CI, "the build is red" is only the starting point. The useful questions are whether this change caused the failure, whether the test has failed before, and where to find the evidence. If answering them means searching a job log, downloading an artifact, and finding the teammate who …

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Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway. These features give you deterministic control over sequences of agent actions and cost ceilings that hold regardless of agent behavior. Link …

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As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics through a local collector to Amazon CloudWatch for an AWS native view of usage by user, team, and cost center. Link to article: …

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A regulated customer needed all Claude Code inference processed in a single AWS Region (London), not just in-geography. This post shows two ways to pin Claude Code on Amazon Bedrock to one Region: an application inference profile or the Mantle endpoint, paired with an IAM Region condition, plus how to verify compliance …

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Software is shifting from apps built for people to agents that can reason over context and act on someone's behalf. Microsoft 365 Copilot put that shift in front of hundreds of millions of users, and Work IQ gave agents a production-ready intelligence layer to build on. What's been missing is the path in between: …

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Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of open source Agent Skills builds, reviews, tests, debugs, deploys, and validates a custom policy end to end, turning a specialized console task into a repeatable engineering workflow. Link to article: …

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PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web application in seconds. See how a pluggable planner and an AWS Lambda provisioning agent turn plain-English intent into governed, multi-tenant apps …

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The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. Benchmark an endpoint, generate data-driven deployment recommendations, and deploy the recommended configuration without leaving your notebook workflow. Link to article: …

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GitHub Copilot and Azure are helping organizations modernize legacy applications, reduce technical debt, and prepare for AI innovation. The post Microsoft named a Leader in the 2026 Gartner® Magic Quadrant™ for AI-Augmented Code Modernization Tools appeared first on Microsoft Azure Blog. Link to article: …

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It's now easier to track development progress without leaving your Kanban board. Azure Boards now displays pull request annotations directly on work item cards, making it easy to see at a glance when work is actively moving through code review. Link to article: …

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What happens when someone clicks the Place Order button? To the end user, it is pretty simple. It is a button click. But in a large system, there can be a lot going on behind that button. We have to save the order, record the payment, charge the customer’s credit card, reserve inventory, send a… Read More »Decoupling …

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The simplest tools are often the most useful, and debugging is a prime example of this. There are many advanced debugging techniques, and while they all have their use cases, println debugging is still the #1 choice, whether you’re doing it manually or with the help of coding agents. Inserting a println statement to …

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Where time actually goes in design-to-code Every design implementation starts the same way: find the Figma tab, find the right frame, screenshot it, paste it somewhere, switch back to the terminal. By the time you write the first line of code, you’ve already done five minutes of busywork, and you’ll do it again when …

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ChatGPT introduces improved GPT-5.6 Sol with better accuracy and consistency, plus expanded access for free users and unlimited everyday chats with GPT-5.6 Luna. Link to article: https://openai.com/index/improving-gpt-5-6-sol-in-chatgpt

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We're excited to announce the Azure DevOps service connection, a new way to access Azure DevOps from your pipelines using a Microsoft Entra workload identity (a service principal or managed identity) instead of a Personal Access Token (PAT) or session token. This post walks through what it is, how to set it up, and the …

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OpenAI and the American Psychological Association advance evidence-based guidance, resources, and safeguards for responsible AI use and youth mental health. Link to article: https://openai.com/index/openai-and-apa-partner-to-advance-responsible-ai

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New OpenAI Signals data shows how people use ChatGPT worldwide, with country-level insights on adoption, usage trends, and evolving behavior. Link to article: https://openai.com/index/how-the-world-is-putting-chatgpt-to-work

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